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Technology of high-performance image processing on multiprocessor computer

  • Software and Hardware for Pattern Recognition and Image Analysis
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Abstract

An experimental framework SSCCIP for high-performance image processing on multiprocessor computer is described. The basic principles of the system construction, various architectural solutions, and an example of implementing a specific technology of the image processing are discussed.

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References

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Correspondence to E. V. Rusin.

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Evgenii Vladimirovich Rusin. Born 1978. Graduated from Novosibirsk State University, Faculty of Mechanics and Mathematics in 2000. Received candidate’s degree in 2004. Researcher of the Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of the Russian Academy of Sciences (Novosibirsk). Scientific interests: image processing and parallel computing. Author of more than 30 papers.

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Rusin, E.V. Technology of high-performance image processing on multiprocessor computer. Pattern Recognit. Image Anal. 22, 470–472 (2012). https://doi.org/10.1134/S1054661812030078

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  • DOI: https://doi.org/10.1134/S1054661812030078

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